| Title |
Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter
|
|---|---|
| Published in |
Machine Intelligence Research, April 2017
|
| DOI | 10.1007/s11633-017-1065-z |
| Authors |
Derradji Nada, Mounir Bousbia-Salah, Maamar Bettayeb |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 7 | 21% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 50% |
| Computer Science | 3 | 9% |
| Agricultural and Biological Sciences | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Design | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2020.
All research outputs
#7,962,193
of 25,382,440 outputs
Outputs from Machine Intelligence Research
#51
of 444 outputs
Outputs of similar age
#117,484
of 324,249 outputs
Outputs of similar age from Machine Intelligence Research
#3
of 19 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.